Sara W. Erasmus

948 total citations
44 papers, 625 citations indexed

About

Sara W. Erasmus is a scholar working on Food Science, Animal Science and Zoology and Molecular Biology. According to data from OpenAlex, Sara W. Erasmus has authored 44 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Food Science, 15 papers in Animal Science and Zoology and 11 papers in Molecular Biology. Recurrent topics in Sara W. Erasmus's work include Meat and Animal Product Quality (14 papers), Identification and Quantification in Food (9 papers) and Spectroscopy and Chemometric Analyses (9 papers). Sara W. Erasmus is often cited by papers focused on Meat and Animal Product Quality (14 papers), Identification and Quantification in Food (9 papers) and Spectroscopy and Chemometric Analyses (9 papers). Sara W. Erasmus collaborates with scholars based in Netherlands, United Kingdom and China. Sara W. Erasmus's co-authors include Saskia M. van Ruth, Louwrens C. Hoffman, Magdalena Müller, E. Pieterse, Marieta van der Rijst, Jing Yan, Hongzhi Liu, Qiang Wang, Hongwei Yu and Kasper Hettinga and has published in prestigious journals such as Food Chemistry, Trends in Food Science & Technology and Sensors.

In The Last Decade

Sara W. Erasmus

41 papers receiving 608 citations

Peers

Sara W. Erasmus

ASZ

Juntao Li China

Vesna Đorđević Serbia

S. García-Torres Spain

M.C. Cabrera Uruguay

Michiyo Motoyama Japan

David Tejerina Spain

José Manuel Juárez‐Barrientos Mexico

Veronica Lolli Italy

Emilía Martinsdóttir Iceland

Zhenzhen Liu China

Juntao Li China

Sara W. Erasmus

129 ×0.7

224 ×1.4

ASZ

76 ×0.5

53 ×0.5

31 ×0.3

Citations per year, relative to Sara W. Erasmus Sara W. Erasmus (= 1×) peers Juntao Li

Countries citing papers authored by Sara W. Erasmus

Since Specialization

Citations

This map shows the geographic impact of Sara W. Erasmus's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sara W. Erasmus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara W. Erasmus more than expected).

Fields of papers citing papers by Sara W. Erasmus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sara W. Erasmus. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sara W. Erasmus. The network helps show where Sara W. Erasmus may publish in the future.

Co-authorship network of co-authors of Sara W. Erasmus

This figure shows the co-authorship network connecting the top 25 collaborators of Sara W. Erasmus. A scholar is included among the top collaborators of Sara W. Erasmus based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sara W. Erasmus. Sara W. Erasmus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Jong, I.C. de, et al.. (2025). Postmortem muscle proteomics reveals breed specific responses to environmental enrichment and broiler meat quality. npj Science of Food. 9(1). 161–161.

Xu, Lina, et al.. (2025). Lipid-derived odour-active volatile compound formation pathways in Tibetan pork across different cooking methods: Insights from iron properties, lipid oxidation, and lipidomics analysis. Food Chemistry. 491. 145256–145256. 5 indexed citations

Qing, Han, Nicholas Birse, Brian Quinn, et al.. (2025). Investigating the impact of particle size on the volatile and non-volatile metabolite variations of ginger powder. LWT. 225. 117920–117920. 1 indexed citations

Yang, Ping, et al.. (2025). Exploring relationships between precursor changes and aroma-active compounds formation of cooked Tibetan pork under different cooking methods. Meat Science. 225. 109819–109819. 1 indexed citations

Mishra, Puneet, Sara W. Erasmus, Juan Florencio Tejeda, et al.. (2024). Visible and near-infrared spectral imaging combined with robust regression for predicting firmness, fatness, and compositional properties of fresh pork bellies. Meat Science. 219. 109645–109645. 8 indexed citations

Erasmus, Sara W., et al.. (2024). Sexual maturity, slaughter age, and sex on meat fatty acid composition of chickens raised in a free-range system. Journal of Food Composition and Analysis. 131. 106218–106218. 2 indexed citations

Weesepoel, Yannick, et al.. (2023). A multi-analyte screening method for the rapid detection of illicit adulterants in dietary supplements using a portable SERS analyzer. Heliyon. 9(8). e18509–e18509. 5 indexed citations

Wang, Zhijun, Sara W. Erasmus, & Saskia M. van Ruth. (2023). Going bananas: from risky businesses to latest authentication technologies. Acta Horticulturae. 311–318.

Qing, Han, et al.. (2023). Interpreting the variation in particle size of ground spice by high-resolution visual and spectral imaging: A ginger case study. Food Research International. 170. 113023–113023. 9 indexed citations

10.

Qing, Han, Sara W. Erasmus, Christopher T. Elliott, & Saskia M. van Ruth. (2022). A sense of ginger fraud: prevalence and deconstruction of the China-European union supply chain. npj Science of Food. 6(1). 51–51. 7 indexed citations

11.

Jiménez–Carvelo, Ana M., Pengfei Li, Sara W. Erasmus, Hui Wang, & Saskia M. van Ruth. (2022). Spatial-Temporal Event Analysis as a Prospective Approach for Signalling Emerging Food Fraud-Related Anomalies in Supply Chains. Foods. 12(1). 61–61. 6 indexed citations

12.

Mireei, Seyed Ahmad, et al.. (2021). Broadband acoustic resonance dissolution spectroscopy as a rapid tool for the compositional analysis of food powders: A case study of edible salts. Food Chemistry. 351. 129287–129287. 1 indexed citations

13.

Wang, Zhijun, Sara W. Erasmus, & Saskia M. van Ruth. (2021). Preliminary Study on Tracing the Origin and Exploring the Relations between Growing Conditions and Isotopic and Elemental Fingerprints of Organic and Conventional Cavendish Bananas (Musa spp.). Foods. 10(5). 1021–1021. 8 indexed citations

14.

Hettinga, Kasper, et al.. (2020). Opportunities for fraudsters: When would profitable milk adulterations go unnoticed by common, standardized FTIR measurements?. Food Research International. 136. 109543–109543. 15 indexed citations

15.

Liu, Ningjing, et al.. (2020). Dairy farming system markers: The correlation of forage and milk fatty acid profiles from organic, pasture and conventional systems in the Netherlands. Food Chemistry. 314. 126153–126153. 27 indexed citations

16.

Wang, Zhijun, et al.. (2019). Linking growing conditions to stable isotope ratios and elemental compositions of Costa Rican bananas (Musa spp.). Food Research International. 129. 108882–108882. 23 indexed citations

17.

Ruth, Saskia M. van, et al.. (2018). The sound of salts by Broadband Acoustic Resonance Dissolution Spectroscopy. Food Research International. 116. 1047–1058. 8 indexed citations

18.

Erasmus, Sara W., Magdalena Müller, Martin Alewijn, et al.. (2017). Proton-transfer reaction mass spectrometry (PTR-MS) for the authentication of regionally unique South African lamb. Food Chemistry. 233. 331–342. 16 indexed citations

19.

Erasmus, Sara W., Magdalena Müller, & Louwrens C. Hoffman. (2016). Authentic sheep meat in the European Union: Factors influencing and validating its unique meat quality. Journal of the Science of Food and Agriculture. 97(7). 1979–1996. 30 indexed citations

20.

Erasmus, Sara W., Magdalena Müller, Marieta van der Rijst, & Louwrens C. Hoffman. (2015). Stable isotope ratio analysis: A potential analytical tool for the authentication of South African lamb meat. Food Chemistry. 192. 997–1005. 43 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact